Fairness and Explainability of Recommender Systems

Algorithmic Fairness and Biases in RecSys, Explainability in RecSys, Causal and Counterfactual, Transparency in RecSys, Responsible RecSys for Social Good

[Yashar Deldjoo @yashardel]

Here is a list of contributions I made to
@SIGIRConf conducted in collaboration with great colleagues and collaborators in industries (#Amazon, and #DeepMind). Two Long Papers.

Pretty interesting works on the Holistic Evaluation of Generative and Large language models in #IR and #RecSys, Data Generation using LLMs, etc.

Pre-prints coming up, stay tuned... #SIGIR2025 #SIGIR25 @PolibaOfficial
@madiator @NikhilMehta @DavenCheung @JulianMcauley

[Yashar Deldjoo @yashardel]

📢🚨 Call for Contributions! #CallForPapers

📅 Deadline: Open now to July 1, 2025

I am extremely pleased to announce our brand-new new special issue with such an incredible team at #ACM_TORS focused on "Generative AI for Recommender Systems" (#GenAI #RecSys #GenRecSys)

Save your papers, or extensions at SIGIR, KDD, UMAP on various topics around #LLMs #LLM4GOOD #Trust #Fairness #Personalization #Evaluation here.

#Perspective and #survey papers are also allowed and welcome in this SI.

Details: https://t.co/1ime0TfAmo

@DavenCheung berndludwig @LinaYao314 @AixinSG

[Yashar Deldjoo @yashardel]

👇🧵Are you enjoying ACM RecSys 2024? Well, book your tickets for the #ROEGen2024 workshop, the main workshop on #Risks, #Oppertunitis, #Evaluation of #GenRecSys with several #advanced topics presented by keynote speakers from #Google, #DeepMind, and #Meta as well as academia:
https://t.co/NtOBAD5Nhr

[Yashar Deldjoo @yashardel]

📢 Deadline Extended to Sep 5 (AOE)! After receiving many papers!

Working on #LLMs, #GenAI? If your paper did not make it to the #LBR track at @ACMRecSys, do not miss #ROEGEN. We have a senior line-up of speakers and an excellent expecting topic!

👉 https://t.co/HNP1nVCOIG

[Yashar Deldjoo @yashardel]

📚 I am deeply pleased to announce the speaker lineup for #ROEGEN24, the 1st workshop on "Generative Recommender Systems" @ACMRecSys🎉🎉

(1) M. Chen (Principal research scientist at Google Deepmind, USA): "LLMs for Recommendations: A Hybrid Approach"

#LLMs #RecSys #GenerativeAI

[Negar Arabzadeh @NegarEmpr]

Honoured to be a part of this chapter. Let us know what you think and if we have missed any references!
Happy to discuss about evaluation of GenIR systems🤩

[Yashar Deldjoo @yashardel]

🎉I am pleased to share that we will be presenting a #tutorial for #ECAI2024 "Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons & Challenges".

🗓️ 19-24 Oct 2024
📍 Santiago de Compostela
��� https://t.co/WvEtXq2NFt

#AI #Ethics #RecSys #LLM

[Yashar Deldjoo @yashardel]

📘 New Research Alert📊
"A Review of Modern #RecommenderSystems Using Generative Models (Gen-RecSys)" is online.

link: https://t.co/qorOlw9UaX
An important milestone in generative information-seeking research.

#recsys #generative #llm #evaluation #harm #foundationmodel

[ACM FAccT @FAccTConference]

🪅NOW LIVE!🪅

Registration for FAccT 2024 in Rio de Janeiro, Brazil is online! Early Bird rates til April 29! 🐣🌷

🚀https://t.co/NVi6SorTwX

Thank you to our registration chairs @YuexingHao and Sonia Teixeira

[Yashar Deldjoo @yashardel]

Two weeks remain to submit your contributions on #AlgorithmicFairness within #Europe's societal framework @EWAFWorkshop

📅 Submission deadline: March 15, 2024

Location: Germany (July 1-3) @i3mainz
Organized by: M. Cerrato, A. Coronel, and @CorinnaHertweck and J. Alvarez

[Fairness and Explainability of Recommender Systems @FATE_RecSys]

🚀FAccT's 2024 Call for Tutorials is now online! https://t.co/foBxBo6m1b Deadline March 15 AoE

Led by our Tutorials Chairs, @Jenny_L_Davis @andrewthesmart & @heloisacsp

[ACM FAccT @FAccTConference]

🚀FAccT's 2024 Call for Tutorials is now online! https://t.co/7OwCeP4eII Deadline March 15 AoE

Led by our Tutorials Chairs, @Jenny_L_Davis @andrewthesmart & @heloisacsp !

[Hossein A. (Saeed) Rahmani @srahmanidashti]

🎉 Excited to share that our paper "A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems" with @naghiaei and @yashardel has been accepted to ACM Transaction on Recommender Systems (@ACM_TORS)

#RecSys @ACMRecSys #ResponsibleAI

[SIGIR 2025 @SIGIRConf]

Did you know? The "Anywhere on Earth" deadline convention came from IEEE (see: https://t.co/5dYUTgbmKi). It's the home stretch, folks! SIGIR full papers are due Jan 25 AoE time (UTC -12). Y'all got this. (*•̀ᴗ•́*)و ̑̑

[Fairness and Explainability of Recommender Systems @FATE_RecSys]

"A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News" by @yongfengzhang9 et al.

https://t.co/hKNiFVyhwO

#FairRS #LLMs #ChatGPT

[Fairness and Explainability of Recommender Systems @FATE_RecSys]

Recent works on #Biases and #Fairness of #RecLLMs:

"Understanding Biases in #ChatGPT-based Rcomemser Systems: provider Fairness, Temporal Stability, and Recency" @yashardel
https://t.co/KTJbGXFLiq

[Fairness and Explainability of Recommender Systems @FATE_RecSys]

"Is ChatGPT Fair for Recommender Systems?" Zhang et al.

https://t.co/WDXIarf6sA

[Yashar Deldjoo @yashardel]

📖Check out this comprehensive literature review on #Fairness in #RecommenderSystems published with @SpringerNature in @UmuaiJ, covering key approaches, challenges, and opportunities for building fair recommendation systems. #RecSys #FairAI #survey

https://t.co/2ikfvHUcEb

[Fairness and Explainability of Recommender Systems @FATE_RecSys]

"Fairness in Recommender Systems: Research Landscape and Future Directions" a brand new survey by @yashardel et al. on a timely and important topic is out.

#fairness #recsys

[Yashar Deldjoo @yashardel]

🎉Exciting news!🎉 I am thrilled to announce that our survey on the "fairness of recommender systems" has been accepted by the prestigious #UMUAI journal, the first journal of personalization. https://t.co/SZrCDSWkvU

#fairness #personalization #recsys

[Yashar Deldjoo @yashardel]

Pleased to announce that the deadline for the SI on "Trustworthy Recommender Systems" @ACM_TORS has been extended. New deadline: Feb 28, 2023.

Topics of interest: Adversarial #Robustness, #Privacy, #Interpretability and #Explanation, #Fairness

@TheWebConf @SIGIRConf @ACMRecSys

[arXiv @arXiv_cs_ir]

Explainable Information Retrieval: A Survey

🔗: https://t.co/X1LnfRKQbd